update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: article2KW_test1_barthez-orangesum-title_finetuned_for_summurization
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# article2KW_test1_barthez-orangesum-title_finetuned_for_summurization
+
+This model is a fine-tuned version of [moussaKam/barthez-orangesum-title](https://huggingface.co/moussaKam/barthez-orangesum-title) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2895
+- Rouge1: 0.2048
+- Rouge2: 0.0600
+- Rougel: 0.2053
+- Rougelsum: 0.2057
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5.6e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 0.4512        | 1.0   | 3368  | 0.3433          | 0.2030 | 0.0642 | 0.2037 | 0.2033    |
+| 0.3162        | 2.0   | 6736  | 0.3051          | 0.2109 | 0.0681 | 0.2110 | 0.2111    |
+| 0.264         | 3.0   | 10104 | 0.2895          | 0.2048 | 0.0600 | 0.2053 | 0.2057    |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.3.2
+- Tokenizers 0.11.0